航空学报2026，Vol.47Issue(8)：302-320,19.DOI:10.7527/S1000-6893.2025.32623
基于知识-规则融合与动态置信度量化的双机器人钻铆智能参数推荐方法
Intelligent parameter recommendation method for dual-robot drilling and riveting with knowledge-rule fusion and dynamic confidence quantification
摘要
Abstract
To address the challenge of intelligent decision-making in dual-robot drilling and riveting,which is often hin-dered by reliance on manual expertise and fragmented process knowledge,this study proposes an intelligent param-eter recommendation method that integrates knowledge graphs with rule reasoning.Initially,a multi-layer knowledge graph for dual-robot drilling and riveting is constructed.This graph comprises 292 entities and 711 relationships,orga-nized across five layers:tool,workpiece,process,feature,and instance.It enables multimodal semantic associa-tions among material properties,process parameters,and quality indicators.Based on this knowledge graph,a two-stage reasoning framework is introduced.In the first stage,similar cases are retrieved using a weighted cosine similar-ity algorithm,where the weights are determined via the analytic hierarchy process.In the second stage,a priority-based rule engine enforces parameter constraints and resolves conflicts.This framework enhances both the accuracy and consistency of parameter recommendations.Furthermore,a dynamic confidence evaluation model is developed by incorporating data-and rule-based constraints,establishing a four-dimensional assessment along the axes of data scale,data quality,data distribution,and rule conflicts.This dynamic weighting mechanism enhances the interpret-ability of the recommendation results.Experimental validation on a dual-robot drilling and riveting workstation at COMAC Shanghai Aircraft Manufacturing Co.,Ltd.demonstrates that the proposed method achieves a comprehen-sive confidence level of 0.93,with the recommended parameters satisfying physical process constraints.Overall,this method provides an effective approach for capturing and reusing process knowledge while supporting intelligent decision-making in complex manufacturing scenarios.关键词
参数推荐/知识图谱/钻铆工艺/知识推理/工艺知识建模Key words
parameter recommendation/knowledge graph/drilling and riveting process/knowledge reasoning/knowledge modeling分类
航空航天引用本文复制引用
陶永,王潇桐,刘亚醉,刘海涛,张宇帆,薛雷,郭瑞军,任帆,魏洪兴..基于知识-规则融合与动态置信度量化的双机器人钻铆智能参数推荐方法[J].航空学报,2026,47(8):302-320,19.基金项目
国家重点研发计划(2022YFB4700400) National Key Research and Development Program of China(2022YFB4700400) （2022YFB4700400）
